Space-Temporal analysis of suspended sediment in low concentration reservoir by remote sensing

Abstract

The study of small reservoirs with low suspended sediment concentration (CSS) is still a challenge for remote sensing. In this work we estimate CSS from the optical properties of water and orbital imagery. Campaigns were carried out at selected dates according to the calendar of sensor passages, rainfall seasonality and hydrograph of the reservoir for the collection of surface water samples and field spectroradiometry. The calibration between CSS and spectral behavior generated CSS estimation models from MODIS and Landsat 8 data, allowing investigation of their temporal and spatial behavior. The MODIS model generated a time series of CSS from 2000 to 2017, presenting R2 = 0.8105 and RMSE% = 39.91%. The Landsat 8 model allowed the spatial analysis of CSS, with R2 = 0.8352 and RMSE% = 15.12%. The combination of the proposed models allowed the temporal and spatial analysis of the CSS and its relationships with the rainfall regime and the quota variation of the Descoberto reservoir (DF). The results showed that the use of orbital data complements the CSS information obtained by the traditional methods of collecting and analyzing water quality in low CSS reservoirs.

Assessment of some water quality parameters in the Red River downstream, Vietnam by combining field monitoring and remote sensing method

“…In this study, we experiment with different regression models, including using only one band, using two bands, using 3 bands, and using all 4 visible and NIR bands of Sentinel-2B image. Next, the correlation coefficient (R 2 ) values in the regression models were compared to choose the optimal regression model for estimating the total suspended sediment and turbidity concentration (Espinoza Villar et al 2013;Chelotti et al 2019).…”

Monitoramento do sedimento suspenso no Lago Catalão (Iranduba, AM) com dados Landsat-8

“…Esta abordagem foi utilizada pelo fato que a área de estudo possui valores da concentração de sedimentos suspensos que variam de baixa a moderada, ou seja, CSS menor que 50 mg L -1 . Assim, com base em estudos anteriores [8,21,26,27] foi ajustado um modelo linear de estimativa da CSS a partir da banda do vermelho do sensor OLI (Banda 4). A Figura 4 apresenta o modelo empírico aplicados nas imagens de satélites e as estatísticas de validação.…”

Estimating Suspended Sediment Concentration Using Remote Sensing for the Teles Pires River, Brazil

“…Suspended sediment concentration (SSC) is relevant to assess the quality of water bodies, as it is directly connected to the morphology of channels and silting processes in reservoirs [1,2]. Although erosion and particle sedimentation are natural phenomena, anthropogenic actions can enhance these processes, causing loss of water quality, silting up of water bodies, and reducing the useful life of reservoirs [3,4]. Although traditional methods for acquiring sedimentological data are reliable, alternative techniques are needed to speed up and improve SSC quantification, making it less costly [5].…”

“…As SSC increases, the surface reflectance of water bodies also rises, enabling the detection of its variations along a water body [7]. One advantage of sedimentological monitoring using satellite images is the potential to monitor sediment inflow sites in reservoirs, which are hard to monitor [3]. Therefore, satellite imagery can be used to monitor several points of water bodies simultaneously, including hard-to-reach areas.…”